awslabs / sagemaker-graph-fraud-detection
Use Amazon SageMaker and Deep Graph Library (DGL) for Fraud Detection in Networks
☆93Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for sagemaker-graph-fraud-detection
- An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and D…☆208Updated 7 months ago
- ☆26Updated 3 months ago
- Using Deep Learning for Demand Forecasting with Amazon SageMaker☆84Updated 2 years ago
- An Unsupervised Graph-based Toolbox for Fraud Detection☆129Updated 2 years ago
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆127Updated 2 years ago
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆59Updated last year
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆32Updated 3 years ago
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆246Updated 2 years ago
- AML End to End Example☆52Updated 2 years ago
- ☆64Updated last year
- Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many de…☆66Updated 5 months ago
- ☆30Updated last year
- ☆128Updated 6 months ago
- Scalable Graph Neural Networks with Deep Graph Library☆22Updated 3 years ago
- Amazon SageMaker Solution for explaining credit decisions.☆95Updated last year
- ☆17Updated 6 months ago
- A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks"…☆121Updated 2 years ago
- ☆17Updated 4 years ago
- Fraud detection in bank transactions using graph databases and machine learning.☆20Updated 4 years ago
- Fraud detection with the Paysim financial dataset, Neo4j Graph Data Science, and Neo4j Bloom☆41Updated last month
- ☆21Updated last year
- Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.☆370Updated this week
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆42Updated 3 years ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆125Updated last month
- Sample use of Amazon Personalize for a recommender system for car searches☆14Updated 5 years ago
- This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detectio…☆30Updated last year
- Open innovation with 60 minute cloud experiments on AWS☆88Updated 6 months ago
- Repository for Fraud Dataset Benchmark☆133Updated last year
- Representation learning for link prediction within social networks☆343Updated 6 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆104Updated 2 years ago